Results 281 to 290 of about 119,312 (313)
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Robust observations for object tracking
IEEE International Conference on Image Processing 2005, 2005It is a difficult task to find an observation model that will perform well for long-term visual tracking. In this paper, we propose an adaptive observation enhancement technique based on likelihood images, which are derived from multiple visual features.
Bohyung Han, Larry S. Davis
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Tracking multiple objects in 3D
Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289), 2003A system for tracking multiple targets in 3D is described. The system is made up of two pan-and-tilt units that are attached to the extremities of a rotating arm. This configuration has several advantages and can deal with several specific instances of tracking more than one target.
João Pedro Barreto 0001 +3 more
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2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2023
Ryan Walczyk +4 more
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Ryan Walczyk +4 more
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Visual tracking of object silhouettes
2009 16th IEEE International Conference on Image Processing (ICIP), 2009In this paper we propose a new method that addresses the problem of tracking the bitmap (silhouette) of an object in a video under very general conditions. We assume a general target, possibly non rigid, with no prior information except initialization.
Guy Boudoukh, Ido Leichter, Ehud Rivlin
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Infants' tracking of objects and collections
Cognition, 2000Recent research suggests that infants' understanding of the physical world is more complex and adult-like than previously believed. One of the most impressive discoveries has been infants' ability to reason about medium-sized, material objects. They are able to individuate objects in a scene, and to enumerate and reason about them. This article reports
W C, Chiang, K, Wynn
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Object Tracking with Self-updating Tracking Window
2007A basic requirement for a practical tracking system is to adjust the tracking model in real time when the appearance of the tracked object changes. However, since the scale of the targets often varied irregularly, systems with fixed-size tracking window usually could not accommodate to these scenarios.
Huimin Qian +3 more
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Enhanced Multi-Object Tracking: Inferring Motion States of Tracked Objects
ACM Transactions on Multimedia Computing, Communications, and ApplicationsMulti-Object Tracking (MOT) is a critical problem in computer vision, yet current research on tracking the motion state of objects relative to the ground remains limited. The extant literature exhibits a notable dearth in the exploration of this aspect.
Pan Liao +5 more
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Moving Object Tracking Using Object Segmentation
2010Research in motion analysis has evolved over the years as a challenging field, such as traffic monitoring, military, automated surveillance system and biological sciences etc. Tracking of moving objects in video sequences can offer significant benefits to motion analysis.
Sanjay Singh 0001 +4 more
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Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview
ACM Computing Surveys, 2023Zhaoxin Fan, Yulin He, Hongyan Liu
exaly
Machine Learning Methods for Data Association in Multi-Object Tracking
ACM Computing Surveys, 2021Patrick Emami +2 more
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